Mein Workflow

• •Google-Konto + Gmail API-Anmeldedaten
• •Google Drive API-Anmeldedaten
• •Möglicherweise sind Ziel-API-Anmeldedaten erforderlich
• •Google Sheets API-Anmeldedaten
• •Google Gemini API Key

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  "name": "My workflow",
  "tags": [],
  "nodes": [
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      "id": "9dd871da-bb3b-4ebe-963b-128fcff34099",
      "name": "Datei herunterladen",
      "type": "n8n-nodes-base.googleDrive",
      "position": [
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      "parameters": {
        "fileId": {
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      },
      "credentials": {
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      "name": "Zeile(n) in Sheet abrufen",
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      "position": [
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    {
      "id": "dc8f887e-81e6-44bf-a356-13f61d6a0388",
      "name": "Jobs von LinkedIn abrufen",
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      "parameters": {
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      "name": "KI-Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
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      "parameters": {
        "text": "=You are a precise job-matching assistant.\n\nReturn ONE JSON object wrapped in ```json fences, followed by the line END_OF_JSON.\nNo extra prose. No Markdown inside the JSON. No comments.\n\nINPUTS\njob_description: {{ $json.Description }}\nmy_resume: {{ $('Extract from File').item.json.text }}\n\nTASKS\n1) Parse job_description → job_analysis with keys:\n   title (string), company (string), must_have_skills (string[]), nice_to_have_skills (string[]),\n   responsibilities (string[]), years_of_experience (string), education_certifications (string),\n   location_constraints (string), domain_industry_focus (string), tech_stack (string[]), measurable_kpis (string[])\n\n2) Parse my_resume → resume_analysis:\n   core_skills (string[]),\n   tools_tech { programming_languages[], frontend_technologies[], backend_technologies[], databases_devops[] },\n   years_of_experience_key_areas (object of short strings),\n   accomplishments_with_metrics (string[]),\n   education_certs (string[]), domains (string[]), roles_titles (string[]),\n   leadership_collaboration (string[]), location_work_auth (string)\n\n3) Scoring (integer 0–100):\n   - Skills/Tools overlap: 40\n   - Relevant experience & seniority: 25\n   - Responsibilities alignment: 15\n   - Education/Certs fit: 10\n   - Domain/industry fit: 5\n   - Logistics (location/work auth/availability): 5\n   Allow partial credit; deduct up to 10 via red_flags. Clamp to [0,100], integer.\n\n4) Explain the score:\n   For each bucket, provide 1–3 concise evidence bullets. Cite \"JD\" or \"Resume\" and include short quoted fragments (escape quotes).\n\n5) Gaps & Suggestions:\n   List missing/weak requirements with 1–2 concrete upskilling steps per gap.\n\n6) Cover letter:\n   150–220 words (2–4 short paragraphs), tailored to the role/company.\n   Concrete impacts; no greeting/signature. JSON-safe: escape all \" as \\\", use \\n for newlines.\n\nSTRICT CONTENT RULES (to prevent invalid JSON)\n- Do NOT paste raw paragraphs, markdown (**bold**, lists), headings, or multi-line blocks into any array fields.\n- Every array element must be a short phrase (≤ 140 characters), single line, no line breaks, no asterisks, no bullets.\n- If a JD section is long, summarize into short phrases before placing into arrays.\n- Do NOT include unrelated job text inside arrays or objects. Keep each value semantically atomic.\n- Never invent company/title; use \"\" if unknown.\n- No trailing commas anywhere.\n\nSTRICT OUTPUT RULES\n- Output exactly the following schema (keys and types). No extra keys.\n\nSCHEMA\n```json\n{\n  \"job_analysis\": {\n    \"title\": \"\",\n    \"company\": \"\",\n    \"must_have_skills\": [],\n    \"nice_to_have_skills\": [],\n    \"responsibilities\": [],\n    \"years_of_experience\": \"\",\n    \"education_certifications\": \"\",\n    \"location_constraints\": \"\",\n    \"domain_industry_focus\": \"\",\n    \"tech_stack\": [],\n    \"measurable_kpis\": []\n  },\n  \"resume_analysis\": {\n    \"core_skills\": [],\n    \"tools_tech\": {\n      \"programming_languages\": [],\n      \"frontend_technologies\": [],\n      \"backend_technologies\": [],\n      \"databases_devops\": []\n    },\n    \"years_of_experience_key_areas\": {},\n    \"accomplishments_with_metrics\": [],\n    \"education_certs\": [],\n    \"domains\": [],\n    \"roles_titles\": [],\n    \"leadership_collaboration\": [],\n    \"location_work_auth\": \"\"\n  },\n  \"match_score\": 0,\n  \"score_explanation\": [\n    { \"category\": \"Skills/Tools overlap (40 points)\", \"score\": 0, \"evidence\": [] },\n    { \"category\": \"Relevant experience depth & seniority (25 points)\", \"score\": 0, \"evidence\": [] },\n    { \"category\": \"Responsibilities alignment (15 points)\", \"score\": 0, \"evidence\": [] },\n    { \"category\": \"Education/Certs fit (10 points)\", \"score\": 0, \"evidence\": [] },\n    { \"category\": \"Domain/industry fit (5 points)\", \"score\": 0, \"evidence\": [] },\n    { \"category\": \"Logistics (location, work auth, availability) (5 points)\", \"score\": 0, \"evidence\": [] }\n  ],\n  \"red_flags\": [],\n  \"gaps_and_suggestions\": [\n    { \"gap\": \"\", \"suggestion\": \"\" }\n  ],\n  \"cover_letter\": \"\"\n}\n",
        "options": {},
        "promptType": "define"
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      "name": "Google Gemini Chat-Modell",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        32,
        640
      ],
      "parameters": {
        "options": {}
      },
      "credentials": {
        "googlePalmApi": {
          "id": "g6RyTSgLpUyQXe6T",
          "name": "Google Gemini(PaLM) Api account"
        }
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      "typeVersion": 1
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      "parameters": {
        "mode": "raw",
        "options": {},
        "jsonOutput": "={{ (() => {\n  // 0) Read model output from AI Agent node\n  const raw = String(($('AI Agent').item.json.output ?? ''));\n\n  // 1) Strip code fences\n  let s = raw\n    .replace(/`{2,3}(?:json)?\\s*/gi, '')\n    .replace(/\\s*`{3}\\s*$/gi, '');\n\n  // 1b) Normalize curly quotes (Gemini sometimes emits them)\n  s = s.replace(/[\\u201C\\u201D]/g, '\"').replace(/\\u2019/g, \"'\");\n\n  // 2) Cut at END_OF_JSON if present\n  const endIdx = s.indexOf('END_OF_JSON');\n  if (endIdx !== -1) s = s.slice(0, endIdx);\n\n  // 3) Extract first complete { ... } by brace counting\n  const start = s.indexOf('{');\n  if (start < 0) return {};\n  let depth = 0, inStr = false, esc = false, end = -1;\n  for (let i = start; i < s.length; i++) {\n    const ch = s[i];\n    if (inStr) {\n      if (esc) { esc = false; }\n      else if (ch === '\\\\') { esc = true; }\n      else if (ch === '\"') { inStr = false; }\n    } else {\n      if (ch === '\"') inStr = true;\n      else if (ch === '{') depth++;\n      else if (ch === '}') { depth--; if (depth === 0) { end = i + 1; break; } }\n    }\n  }\n  if (end < 0) return {};\n\n  const cleaned = s.slice(start, end).trim();\n\n  try {\n    return JSON.parse(cleaned);   // JSON mode expects an OBJECT\n  } catch (e) {\n    // As a last resort, return an empty object to keep the run alive\n    return {};\n  }\n})() }}\n"
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      "position": [
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      ],
      "parameters": {
        "text": "You are a ruthless resume editor. Compare the inputs and output ONLY crisp, point-wise changes to improve job fit.\n\nInputs:\n- job_description: {{ $json.Description }}\n- my_resume: {{ $('Extract from File').item.json.text }}\n\nInstructions:\n- Output a numbered list; highest-impact first.\n- One line per point; <= 14 words.\n- Start each line with a tag: [ADD], [REMOVE], [REWRITE], [ORDER], [QUANTIFY], [KEYWORDS], [FORMAT], [FOCUS].\n- Base every point on gaps vs. the job_description; do not invent experience.\n- Prefer concrete actions: skills to add, bullets to rewrite, sections to reorder/remove.\n- Include one line: 'Missing keywords: term1, term2, ...' (only if any).\n- No intros, explanations, code fences, or extra text - points only.\n\nOutput: points only, exactly as specified above.",
        "options": {},
        "promptType": "define"
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      "typeVersion": 2.2
    },
    {
      "id": "5e3518b8-e203-45ba-9d02-356edf668c0c",
      "name": "Google Gemini Chat-Modell1",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        736,
        816
      ],
      "parameters": {
        "options": {}
      },
      "credentials": {
        "googlePalmApi": {
          "id": "g6RyTSgLpUyQXe6T",
          "name": "Google Gemini(PaLM) Api account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "ca1e037d-bb59-455c-8738-f1e1ce89f2b4",
      "name": "Zeile in Sheet1 anhängen/aktualisieren",
      "type": "n8n-nodes-base.googleSheets",
      "position": [
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      ],
      "parameters": {
        "columns": {
          "value": {
            "Link": "={{ $('Edit Fields').item.json['Apply Link'] }}",
            "Score": "={{ $('Edit Fields1').item.json.match_score }}",
            "Title": "={{ $('Edit Fields').item.json.Title }}",
            "Skills": "={{ $('Edit Fields1').item.json.resume_analysis.core_skills }}",
            "Locaton": "={{ $('Edit Fields').item.json.Location }}",
            "Company ": "={{ $('Edit Fields').item.json.Company }}",
            "Cover Letter": "={{ $('Edit Fields1').item.json.cover_letter }}",
            "Improvements": "={{ $json.output }}"
          },
          "schema": [
            {
              "id": "Title",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Title",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Company ",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Company ",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Locaton",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Locaton",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Link",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "Link",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Score",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Score",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Cover Letter",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Cover Letter",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Skills",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "Skills",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Improvements",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "Improvements",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            }
          ],
          "mappingMode": "defineBelow",
          "matchingColumns": [
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          ],
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          "convertFieldsToString": false
        },
        "options": {},
        "operation": "appendOrUpdate",
        "sheetName": {
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          "mode": "list",
          "value": 11035642,
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1m_p1yu6j10cuHK-bImqz86Oraegz5j9ii2u5LJqxg1g/edit#gid=11035642",
          "cachedResultName": "Result"
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          "mode": "list",
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          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1m_p1yu6j10cuHK-bImqz86Oraegz5j9ii2u5LJqxg1g/edit?usp=drivesdk",
          "cachedResultName": "Job Search N8N"
        }
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      "credentials": {
        "googleSheetsOAuth2Api": {
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      "typeVersion": 4.7
    },
    {
      "id": "d2b5241e-c511-42c9-8301-e75c1b5c22c9",
      "name": "Nachricht senden",
      "type": "n8n-nodes-base.gmail",
      "position": [
        1984,
        800
      ],
      "webhookId": "f0d6158b-a72b-4e84-8f3e-0e8ecfaeda72",
      "parameters": {
        "sendTo": "<your e-mail address>",
        "message": "Hey, your job search results with resume changes are ready in your sheet for today",
        "options": {},
        "subject": "Job search results",
        "emailType": "text"
      },
      "credentials": {
        "gmailOAuth2": {
          "id": "Zd1C7CJsZcTcApAG",
          "name": "Gmail account"
        }
      },
      "typeVersion": 2.1
    },
    {
      "id": "9100d62e-1108-4ba2-b6dd-91576b1c015b",
      "name": "Haftnotiz",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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        -240
      ],
      "parameters": {
        "height": 192,
        "content": "## Add Google Cloud Credentials\n\n1. sign in with google\n2. Upload your resume and change to anyone can view\n3. Paste your link\n"
      },
      "typeVersion": 1
    },
    {
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        "content": "## Add Gemini Free tier api key\n\n1. sign in with google\n2. Create API key and project\n3. Add Free Tier key"
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        "content": "# Job search ultimate workflow - @jugaldb\n\n1. Takes about 1 hour to run\n2. Finds all relevant jobs posted in last one day, runs at 5 AM everyday\n3. Sends you an e-mail whne complete"
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